利用脑电信号进行语言感觉区的被动功能定位。
Passive functional mapping of receptive language areas using electrocorticographic signals.
机构信息
g.tec neurotechnology USA, Rensselaer, NY, USA; Dept. of Biomedical Sciences, State University of New York at Albany, Albany, NY, USA; National Ctr. for Adaptive Neurotechnologies, Wadsworth Center, NY State Dept. of Health, Albany, NY, USA.
g.tec neurotechnology USA, Rensselaer, NY, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Dept. of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; National Ctr. for Adaptive Neurotechnologies, Wadsworth Center, NY State Dept. of Health, Albany, NY, USA.
出版信息
Clin Neurophysiol. 2018 Dec;129(12):2517-2524. doi: 10.1016/j.clinph.2018.09.007. Epub 2018 Sep 25.
OBJECTIVE
To validate the use of passive functional mapping using electrocorticographic (ECoG) broadband gamma signals for identifying receptive language cortex.
METHODS
We mapped language function in 23 patients using ECoG and using electrical cortical stimulation (ECS) in a subset of 15 subjects.
RESULTS
The qualitative comparison between cortical sites identified by ECoG and ECS show a high concordance. A quantitative comparison indicates a high level of sensitivity (95%) and a lower level of specificity (59%). Detailed analysis reveals that 82% of all cortical sites identified by ECoG were within one contact of a site identified by ECS.
CONCLUSIONS
These results show that passive functional mapping reliably localizes receptive language areas, and that there is a substantial concordance between the ECoG- and ECS-based methods. They also point to a more refined understanding of the differences between ECoG- and ECS-based mappings. This refined understanding helps to clarify the instances in which the two methods disagree and can explain why neurosurgical practice has established the concept of a "safety margin."
SIGNIFICANCE
Passive functional mapping using ECoG signals provides a fast, robust, and reliable method for identifying receptive language areas without many of the risks and limitations associated with ECS.
目的
验证使用脑电图（ECoG）宽带伽马信号进行被动功能映射以识别语言接受区的方法。
方法
我们使用 ECoG 对 23 名患者进行语言功能定位，并在 15 名患者的亚组中使用电皮质刺激（ECS）。
结果
ECoG 和 ECS 确定的皮质部位之间的定性比较显示出高度一致性。定量比较表明高灵敏度（95%）和低特异性（59%）。详细分析表明，ECoG 确定的所有皮质部位中有 82%位于 ECS 确定的皮质部位的一个触点内。
结论
这些结果表明，被动功能映射可靠地定位语言接受区，并且 ECoG 和 ECS 两种方法之间具有高度一致性。它们还指出了 ECoG 和 ECS 映射之间的差异有更精细的理解。这种精细的理解有助于阐明两种方法不一致的情况，并解释为什么神经外科实践已经确立了“安全裕度”的概念。
意义
使用 ECoG 信号进行的被动功能映射提供了一种快速、稳健且可靠的方法，可以在没有许多与 ECS 相关的风险和限制的情况下识别语言接受区。
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